Handbook Of Computational Intelligence In Biomedical Engineering And Healthcare

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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

Janmenjoy Nayak,Bighnaraj Naik,Danilo Pelusi,Asit Kumar Das
Handbook of Computational Intelligence in Biomedical Engineering and Healthcare Book PDF

Author : Janmenjoy Nayak,Bighnaraj Naik,Danilo Pelusi,Asit Kumar Das
Publisher : Academic Press
Page : 398 pages
File Size : 53,8 Mb
Release : 2021-04-08
Category : Science
ISBN : 9780128222614

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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare by Janmenjoy Nayak,Bighnaraj Naik,Danilo Pelusi,Asit Kumar Das Pdf

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques. Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/unstructured data on experimental analysis. Presents a comprehensive handbook that covers an Introduction to Computational Intelligence in Biomedical Engineering and Healthcare, Computational Intelligence Techniques, and Advanced and Emerging Techniques in Computational Intelligence Helps readers analyze and do advanced research in specialty healthcare applications Includes links to websites, videos, articles and other online content to expand and support primary learning objectives

Handbook of Artificial Intelligence in Biomedical Engineering

Saravanan Krishnan,Ramesh Kesavan,B. Surendiran,G.S. Mahalakshmi
Handbook of Artificial Intelligence in Biomedical Engineering Book PDF

Author : Saravanan Krishnan,Ramesh Kesavan,B. Surendiran,G.S. Mahalakshmi
Publisher : CRC Press
Page : 538 pages
File Size : 49,6 Mb
Release : 2021-03-30
Category : Computers
ISBN : 9781000067675

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Handbook of Artificial Intelligence in Biomedical Engineering by Saravanan Krishnan,Ramesh Kesavan,B. Surendiran,G.S. Mahalakshmi Pdf

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.

Computational Intelligence in Biomedical Engineering

Rezaul Begg,Daniel T.H. Lai,Marimuthu Palaniswami
Computational Intelligence in Biomedical Engineering Book PDF

Author : Rezaul Begg,Daniel T.H. Lai,Marimuthu Palaniswami
Publisher : CRC Press
Page : 392 pages
File Size : 49,6 Mb
Release : 2007-12-04
Category : Medical
ISBN : 1420005898

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Computational Intelligence in Biomedical Engineering by Rezaul Begg,Daniel T.H. Lai,Marimuthu Palaniswami Pdf

As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational intelligence techniques. The first comprehensive field-specific reference, Computational Intelligence in Biomedical Engineering provides a unique look at how techniques in CI can offer solutions in modelling, relationship pattern recognition, clustering, and other problems particular to the field. The authors begin with an overview of signal processing and machine learning approaches and continue on to introduce specific applications, which illustrate CI’s importance in medical diagnosis and healthcare. They provide an extensive review of signal processing techniques commonly employed in the analysis of biomedical signals and in the improvement of signal to noise ratio. The text covers recent CI techniques for post processing ECG signals in the diagnosis of cardiovascular disease and as well as various studies with a particular focus on CI’s potential as a tool for gait diagnostics. In addition to its detailed accounts of the most recent research, Computational Intelligence in Biomedical Engineering provides useful applications and information on the benefits of applying computation intelligence techniques to improve medical diagnostics.

Handbook of Artificial Intelligence in Biomedical Engineering

Krishnan Saravanan,Ramesh Kesavan,B. Surendiran,G. S. Mahalakshmi
Handbook of Artificial Intelligence in Biomedical Engineering Book PDF

Author : Krishnan Saravanan,Ramesh Kesavan,B. Surendiran,G. S. Mahalakshmi
Publisher : Unknown
Page : 538 pages
File Size : 40,7 Mb
Release : 2021
Category : Computers
ISBN : 1003045561

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Handbook of Artificial Intelligence in Biomedical Engineering by Krishnan Saravanan,Ramesh Kesavan,B. Surendiran,G. S. Mahalakshmi Pdf

"Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts. Topics include: Security and privacy issues in biomedical AI systems and potential solutions Healthcare applications using biomedical AI systems Machine learning in biomedical engineering Live patient monitoring systems Semantic annotation of healthcare data This book presents a broad exploration of biomedical systems using artificial intelligence techniques with detailed coverage of the applications, techniques, algorithms, platforms, and tools in biomedical AI systems. This book will benefit researchers, medical and industry practitioners, academicians, and students"--

Handbook of Deep Learning in Biomedical Engineering

Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar
Handbook of Deep Learning in Biomedical Engineering Book PDF

Author : Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar
Publisher : Academic Press
Page : 320 pages
File Size : 48,8 Mb
Release : 2020-11-12
Category : Science
ISBN : 9780128230473

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Handbook of Deep Learning in Biomedical Engineering by Valentina Emilia Balas,Brojo Kishore Mishra,Raghvendra Kumar Pdf

Deep Learning (DL) is a method of machine learning, running over Artificial Neural Networks, that uses multiple layers to extract high-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and composite information. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications gives readers a complete overview of the essential concepts of Deep Learning and its applications in the field of Biomedical Engineering. Deep learning has been rapidly developed in recent years, in terms of both methodological constructs and practical applications. Deep Learning provides computational models of multiple processing layers to learn and represent data with higher levels of abstraction. It is able to implicitly capture intricate structures of large-scale data and is ideally suited to many of the hardware architectures that are currently available. The ever-expanding amount of data that can be gathered through biomedical and clinical information sensing devices necessitates the development of machine learning and AI techniques such as Deep Learning and Convolutional Neural Networks to process and evaluate the data. Some examples of biomedical and clinical sensing devices that use Deep Learning include: Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound, Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET), Magnetic Particle Imaging, EE/MEG, Optical Microscopy and Tomography, Photoacoustic Tomography, Electron Tomography, and Atomic Force Microscopy. Handbook for Deep Learning in Biomedical Engineering: Techniques and Applications provides the most complete coverage of Deep Learning applications in biomedical engineering available, including detailed real-world applications in areas such as computational neuroscience, neuroimaging, data fusion, medical image processing, neurological disorder diagnosis for diseases such as Alzheimer’s, ADHD, and ASD, tumor prediction, as well as translational multimodal imaging analysis. Presents a comprehensive handbook of the biomedical engineering applications of DL, including computational neuroscience, neuroimaging, time series data such as MRI, functional MRI, CT, EEG, MEG, and data fusion of biomedical imaging data from disparate sources, such as X-Ray/CT Helps readers understand key concepts in DL applications for biomedical engineering and health care, including manifold learning, classification, clustering, and regression in neuroimaging data analysis Provides readers with key DL development techniques such as creation of algorithms and application of DL through artificial neural networks and convolutional neural networks Includes coverage of key application areas of DL such as early diagnosis of specific diseases such as Alzheimer’s, ADHD, and ASD, and tumor prediction through MRI and translational multimodality imaging and biomedical applications such as detection, diagnostic analysis, quantitative measurements, and image guidance of ultrasonography

Biomedical Engineering and Computational Intelligence

João Manuel R. S. Tavares,Nilanjan Dey,Amit Joshi
Biomedical Engineering and Computational Intelligence Book PDF

Author : João Manuel R. S. Tavares,Nilanjan Dey,Amit Joshi
Publisher : Springer
Page : 112 pages
File Size : 41,5 Mb
Release : 2019-07-29
Category : Technology & Engineering
ISBN : 9783030217266

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Biomedical Engineering and Computational Intelligence by João Manuel R. S. Tavares,Nilanjan Dey,Amit Joshi Pdf

This book reports on timely research at the interface between biomedical engineering and intelligence technologies applied to biology and healthcare. It covers cutting-edge methods applied to biomechanics and robotics, EEG time series analysis, blood glucose prediction models, among others. It includes ten chapters, which were selected upon a rigorous peer-review process and presented at the 1st World Thematic Conference - Biomedical Engineering and Computational Intelligence, BIOCOM 2018, held in London, United Kingdom, during October 30–31, 2018.

Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems

Parvathaneni Naga Srinivasu
Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems Book PDF

Author : Parvathaneni Naga Srinivasu
Publisher : Bentham Science Publishers
Page : 225 pages
File Size : 44,5 Mb
Release : 2022-10-05
Category : Technology & Engineering
ISBN : 9781681089577

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Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems by Parvathaneni Naga Srinivasu Pdf

Computational Intelligence and Machine Learning Approaches in Biomedical Engineering and Health Care Systems explains the emerging technology that currently drives computer-aided diagnosis, medical analysis and other electronic healthcare systems. 11 book chapters cover advances in biomedical engineering fields achieved through deep learning and soft-computing techniques. Readers are given a fresh perspective on the impact on the outcomes for healthcare professionals who are assisted by advanced computing algorithms. Key Features: - Covers emerging technologies in biomedical engineering and healthcare that assist physicians in diagnosis, treatment, and surgical planning in a multidisciplinary context - Provides examples of technical use cases for artificial intelligence, machine learning and deep learning in medicine, with examples of different algorithms - Introduces readers to the concept of telemedicine and electronic healthcare systems - Provides implementations of disease prediction models for different diseases including cardiovascular diseases, diabetes and Alzheimer's disease - Summarizes key information for learners - Includes references for advanced readers The book serves as an essential reference for academic readers, as well as computer science enthusiasts who want to familiarize themselves with the practical computing techniques in the field of biomedical engineering (with a focus on medical imaging) and medical informatics.

Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering

Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit
Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering Book PDF

Author : Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit
Publisher : IGI Global
Page : 420 pages
File Size : 43,9 Mb
Release : 2020-02-28
Category : Medical
ISBN : 9781799821229

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Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering by Sisodia, Dilip Singh,Pachori, Ram Bilas,Garg, Lalit Pdf

Artificial intelligence (AI) is revolutionizing every aspect of human life including human healthcare and wellbeing management. Various types of intelligent healthcare engineering applications have been created that help to address patient healthcare and outcomes such as identifying diseases and gathering patient information. Advancements in AI applications in healthcare continue to be sought to aid rapid disease detection, health monitoring, and prescription drug tracking. TheHandbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering is an essential scholarly publication that provides comprehensive research on the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in the design, implementation, and optimization of healthcare engineering solutions. Featuring a wide range of topics such as genetic algorithms, mobile robotics, and neuroinformatics, this book is ideal for engineers, technology developers, IT consultants, hospital administrators, academicians, healthcare professionals, practitioners, researchers, and students.

Smart Computational Intelligence in Biomedical and Health Informatics

Amit Kumar Manocha,Mandeep Singh,Shruti Jain,Vishal Jain
Smart Computational Intelligence in Biomedical and Health Informatics Book PDF

Author : Amit Kumar Manocha,Mandeep Singh,Shruti Jain,Vishal Jain
Publisher : CRC Press
Page : 202 pages
File Size : 43,8 Mb
Release : 2021-09-27
Category : Computers
ISBN : 9781000434378

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Smart Computational Intelligence in Biomedical and Health Informatics by Amit Kumar Manocha,Mandeep Singh,Shruti Jain,Vishal Jain Pdf

Smart Computational Intelligence in Biomedical and Health Informatics presents state-of-the-art innovations; research, design, and implementation of methodological and algorithmic solutions to data processing problems, including analysis of evolving trends in health informatics and computer-aided diagnosis. This book describes practical, applications-led research regarding the use of methods and devices in clinical diagnosis, disease prevention, and patient monitoring and management. It also covers simulation and modeling, measurement and control, analysis, information extraction and monitoring of physiological data in clinical medicine and the biological sciences. FEATURES Covers evolutionary approaches to solve optimization problems in biomedical engineering Discusses IoT, Cloud computing, and data analytics in healthcare informatics Provides computational intelligence-based solution for diagnosis of diseases Reviews modelling and simulations in designing of biomedical equipment Promotes machine learning-based approaches to improvements in biomedical engineering problems This book is for researchers, graduate students in healthcare, biomedical engineers, and those interested in health informatics, computational intelligence, and machine learning.

Computational Intelligence and Data Sciences

Taylor & Francis Group
Computational Intelligence and Data Sciences Book PDF

Author : Taylor & Francis Group
Publisher : CRC Press
Page : 272 pages
File Size : 50,6 Mb
Release : 2022-02-23
Category : Electronic
ISBN : 1032123133

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Computational Intelligence and Data Sciences by Taylor & Francis Group Pdf

This book presents futuristic trends in computational intelligence including algorithms used in different application domains in health informatics covering bio-medical, bioinformatics, &biological sciences. It provides conceptual framework with a focus on computational intelligence techniques in biomedical engineering &health informatics.

Computational Intelligence and Biomedical Signal Processing

Mitul Kumar Ahirwal,Anil Kumar,Girish Kumar Singh
Computational Intelligence and Biomedical Signal Processing Book PDF

Author : Mitul Kumar Ahirwal,Anil Kumar,Girish Kumar Singh
Publisher : Springer Nature
Page : 152 pages
File Size : 53,9 Mb
Release : 2021-05-25
Category : Technology & Engineering
ISBN : 9783030670986

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Computational Intelligence and Biomedical Signal Processing by Mitul Kumar Ahirwal,Anil Kumar,Girish Kumar Singh Pdf

This book presents an interdisciplinary paradigms of computational intelligence techniques and biomedical signal processing. The computational intelligence techniques outlined in the book will help to develop various ways to enhance and utilize signal processing algorithms in the field of biomedical signal processing. In this book, authors have discussed research, discoveries and innovations in computational intelligence, signal processing, and biomedical engineering that will be beneficial to engineers working in the field of health care systems. The book provides fundamental and initial level theory and implementation tools, so that readers can quickly start their research in these interdisciplinary domains.

Handbook of Artificial Intelligence in Healthcare

Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain
Handbook of Artificial Intelligence in Healthcare Book PDF

Author : Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain
Publisher : Springer Nature
Page : 463 pages
File Size : 41,8 Mb
Release : 2021-09-17
Category : Technology & Engineering
ISBN : 9783030791612

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Handbook of Artificial Intelligence in Healthcare by Chee-Peng Lim,Ashlesha Vaidya,Kiran Jain,Virag U. Mahorkar,Lakhmi C. Jain Pdf

This handbook on Artificial Intelligence (AI) in healthcare consists of two volumes. The first volume is dedicated to advances and applications of AI methodologies in specific healthcare problems, while the second volume is concerned with general practicality issues and challenges and future prospects in the healthcare context. The advent of digital and computing technologies has created a surge in the development of AI methodologies and their penetration to a variety of activities in our daily lives in recent years. Indeed, researchers and practitioners have designed and developed a variety of AI-based systems to help advance health and well-being of humans. In this first volume, we present a number of latest studies in AI-based tools and techniques from two broad categories, viz., medical signal, image, and video processing as well as healthcare information and data analytics in Part 1 and Part 2, respectively. These selected studies offer readers practical knowledge and understanding pertaining to the recent advances and applications of AI in the healthcare sector.

Handbook of Artificial Intelligence in Biomedical Engineering

Saravanan Krishnan,Ramesh Kesavan,B. Surendiran,G.S. Mahalakshmi
Handbook of Artificial Intelligence in Biomedical Engineering Book PDF

Author : Saravanan Krishnan,Ramesh Kesavan,B. Surendiran,G.S. Mahalakshmi
Publisher : CRC Press
Page : 565 pages
File Size : 41,5 Mb
Release : 2021-03-29
Category : Technology & Engineering
ISBN : 9781000067637

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Handbook of Artificial Intelligence in Biomedical Engineering by Saravanan Krishnan,Ramesh Kesavan,B. Surendiran,G.S. Mahalakshmi Pdf

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert’s knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.

Computational Intelligence and Its Applications in Healthcare

Jitendra Kumar Verma,Sudip Paul,Prashant Johri
Computational Intelligence and Its Applications in Healthcare Book PDF

Author : Jitendra Kumar Verma,Sudip Paul,Prashant Johri
Publisher : Academic Press
Page : 258 pages
File Size : 48,5 Mb
Release : 2020-08-01
Category : Science
ISBN : 9780128206195

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Computational Intelligence and Its Applications in Healthcare by Jitendra Kumar Verma,Sudip Paul,Prashant Johri Pdf

Computational Intelligence and Its Applications in Healthcare presents rapidly growing applications of computational intelligence for healthcare systems, including intelligent synthetic characters, man-machine interface, menu generators, user acceptance analysis, pictures archiving, and communication systems. Computational intelligence is the study of the design of intelligent agents, which are systems that act intelligently: they do what they think are appropriate for their circumstances and goals; they're flexible to changing environments and goals; they learn from experience; and they make appropriate choices given perceptual limitations and finite computation. Computational intelligence paradigms offer many advantages in maintaining and enhancing the field of healthcare. Provides coverage of fuzzy logic, neural networks, evolutionary computation, learning theory, probabilistic methods, telemedicine, and robotics applications Includes coverage of artificial intelligence and biological applications, soft computing, image and signal processing, and genetic algorithms Presents the latest developments in computational methods in healthcare Bridges the gap between obsolete literature and current literature

Handbook of Data Science Approaches for Biomedical Engineering

Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
Handbook of Data Science Approaches for Biomedical Engineering Book PDF

Author : Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari
Publisher : Academic Press
Page : 320 pages
File Size : 49,7 Mb
Release : 2019-11-13
Category : Science
ISBN : 9780128183199

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Handbook of Data Science Approaches for Biomedical Engineering by Valentina Emilia Balas,Vijender Kumar Solanki,Raghvendra Kumar,Manju Khari Pdf

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding. Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc. Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things Discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more